Q3d: value_counts() Using the value_counts() method, determine how many different possible values there are for the chocolate series in the df DataFrame and how many observations fall into each. Store the output in the object chocolate_values . Take a look at the output. Be sure you understand whether or not there are more chocolate ( chocolate == 1) or nonchocolate candies ( chocolate == 0 ) in the dataset from the output. In [26]: # YOUR CODE HERE #chocolate_values = df['chocolate'].value_counts()[0:10] #chocolate_values Out[26]: 0 48 1 37 Name: chocolate, dtype: int64 In [27]: assert chocolate_values.loc[0] == 48
Q3d: value_counts() Using the value_counts() method, determine how many different possible values there are for the chocolate series in the df DataFrame and how many observations fall into each. Store the output in the object chocolate_values . Take a look at the output. Be sure you understand whether or not there are more chocolate ( chocolate == 1) or nonchocolate candies ( chocolate == 0 ) in the dataset from the output. In [26]: # YOUR CODE HERE #chocolate_values = df['chocolate'].value_counts()[0:10] #chocolate_values Out[26]: 0 48 1 37 Name: chocolate, dtype: int64 In [27]: assert chocolate_values.loc[0] == 48
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Using the value_counts() method, determine how many different possible values there are for the chocolate series in the df DataFrame and how many observations fall into each.
Store the output in the object chocolate_values.
Take a look at the output. Be sure you understand whether or not there are more chocolate (chocolate == 1) or nonchocolate candies (chocolate == 0) in the dataset from the output.
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